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A Survey of Methods For Analyzing and Improving GPU Energy Efficiency

Sparsh Mittal, Jeffrey S. Vetter

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Tags: comparison, Computer science, cpu, CUDA, Energy-efficient computing, FPGA, Hardware Architecture, nVidia

April 18, 2014 by sparsh0mittal

Comparing CUDA, OpenCL and OpenGL Implementations of the Cardiac Monodomain Equations

Rafael Sachetto Oliveira, Bernardo Martins Rocha, Ronan Mendonça Amorim, Fernando Otaviano Campos, Wagner Meira Jr., Elson Magalhães Toledo, Rodrigo Weber dos Santos

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Tags: cardiac simulation, comparison, CUDA, OpenCL, OpenGL

August 2, 2013 by rbm84

Efficient Interleaved Batch Matrix Solvers for CUDA

ArborX: Performance-portable geometric search library

ArborX: A Performance Portable Search Library

FlowSeq: Generative Flow based Sequence-to-Sequence Toolkit

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow

Compositional Deep Learning in Futhark

MLPerf Benchmark Suite

Demystifying the MLPerf Benchmark Suite

stdgpu: Efficient STL-like Data Structures on the GPU

ikra-cpp: C++ Library for Object-oriented Programming with Structure of Arrays Layout

Memory-Efficient Object-Oriented Programming on GPUs

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Rome, Italy

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high performance computing on graphics processing units: hgpu.org

A Survey of Methods For Analyzing and Improving GPU Energy Efficiency

Comparing CUDA, OpenCL and OpenGL Implementations of the Cardiac Monodomain Equations

Recent source codes

Watershed analysis algorithm implementation in CUDA and OpenACC

OpenCL Performance Prediction using Architecture-Independent Features

PySPH: a Python-based SPH framework

Efficient Interleaved Batch Matrix Solvers for CUDA

ArborX: Performance-portable geometric search library

FlowSeq: Generative Flow based Sequence-to-Sequence Toolkit

Compositional Deep Learning in Futhark

MLPerf Benchmark Suite

stdgpu: Efficient STL-like Data Structures on the GPU

ikra-cpp: C++ Library for Object-oriented Programming with Structure of Arrays Layout

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Featured events

7th International Workshop on OpenCL, 2019

Distributed Heterogeneous Programming in C/C++ (DHPCC++), 2019

3rd International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation (TAPEMS), 2019

International Conference on Frontiers of Neural Networks (ICFNN), 2019

International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML), 2019